fix readme images

README.md

@@ -60,7 +60,7 @@ Unlike other distributed inference frameworks, exo does not use a master-worker
 
 Exo supports different [partitioning strategies](exo/topology/partitioning_strategy.py) to split up a model across devices. The default partitioning strategy is [ring memory weighted partitioning](exo/topology/ring_memory_weighted_partitioning_strategy.py). This runs an inference in a ring where each device runs a number of model layers proportional to the memory of the device.
 
-!["A screenshot of exo running 5 nodes](docs/exo-screenshot.png)
+!["A screenshot of exo running 5 nodes](docs/exo-screenshot.jpg)
 
 ## Installation
 

docs/exo-screenshot.png

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:561ec71a226a154503b1d70553c9d57c7cd45dbb3bb0e1244ed5b00edbf0523d
-size 479724

docs/ring-topology.png

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3f57b11f2d3aefb3887c5266994c4b4335501830c77a6a53fa6901c8725d0f6c
-size 55857